RESUMO
Despite intensive research, the role of metabolism in bacterial sporulation remains poorly understood. Here, we demonstrate that Bacillus subtilis sporulation entails a marked metabolic differentiation of the two cells comprising the sporangium: the forespore, which becomes the dormant spore, and the mother cell, which dies as sporulation completes. Our data provide evidence that metabolic precursor biosynthesis becomes restricted to the mother cell and that the forespore becomes reliant on mother cell-derived metabolites for protein synthesis. We further show that arginine is trafficked between the two cells and that proposed proteinaceous channels mediate small-molecule intercellular transport. Thus, sporulation entails the profound metabolic reprogramming of the forespore, which is depleted of key metabolic enzymes and must import metabolites from the mother cell. Together, our results provide a bacterial example analogous to progeny nurturing.
Assuntos
Proteínas de Bactérias , Esporos Bacterianos , Bacillus subtilis/metabolismo , Proteínas de Bactérias/genética , Proteínas de Bactérias/metabolismo , Transporte Biológico , Diferenciação Celular , Esporos Bacterianos/genética , Esporos Bacterianos/metabolismoRESUMO
Microbial interactions are expected to be major determinants of microbiome structure and function. Although fungi are found in diverse microbiomes, their interactions with bacteria remain largely uncharacterized. In this work, we characterize interactions in 16 different bacterial-fungal pairs, examining the impacts of 8 different fungi isolated from cheese rind microbiomes on 2 bacteria (Escherichia coli and a cheese-isolated Pseudomonas psychrophila). Using random barcode transposon-site sequencing with an analysis pipeline that allows statistical comparisons between different conditions, we observed that fungal partners caused widespread changes in the fitness of bacterial mutants compared to growth alone. We found that all fungal species modulated the availability of iron and biotin to bacterial species, which suggests that these may be conserved drivers of bacterial-fungal interactions. Species-specific interactions were also uncovered, a subset of which suggested fungal antibiotic production. Changes in both conserved and species-specific interactions resulted from the deletion of a global regulator of fungal specialized metabolite production. This work highlights the potential for broad impacts of fungi on bacterial species within microbiomes.
Assuntos
Escherichia coli/genética , Fungos/metabolismo , Aptidão Genética/genética , Interações Microbianas/fisiologia , Pseudomonas/genética , Biotina/metabolismo , Queijo/microbiologia , Código de Barras de DNA Taxonômico , Aptidão Genética/fisiologia , Genoma Bacteriano/genética , Ensaios de Triagem em Larga Escala , Ferro/metabolismo , Microbiota/genética , Microbiota/fisiologiaRESUMO
Understanding the mechanism of action (MOA) of new antimicrobial agents is a critical step in drug discovery but is notoriously difficult for compounds that appear to inhibit multiple cellular pathways. We recently described image-based approaches [bacterial cytological profiling and rapid inducible profiling (RIP)] for identifying the cellular pathways targeted by antibiotics. Here we have applied these methods to examine the effects of proteolytically degrading enzymes involved in pyrimidine nucleotide biosynthesis, a pathway that produces intermediates for transcription, DNA replication, and cell envelope synthesis. We show that rapid removal of enzymes directly involved in deoxyribonucleotide synthesis blocks DNA replication. However, degradation of cytidylate kinase (CMK), which catalyzes reactions involved in the synthesis of both ribonucleotides and deoxyribonucleotides, blocks both DNA replication and wall teichoic acid biosynthesis, producing cytological effects identical to those created by simultaneously inhibiting both processes with the antibiotics ciprofloxacin and tunicamycin. Our results suggest that RIP can be used to identify and characterize potential keystone enzymes like CMK whose inhibition dramatically affects multiple pathways, thereby revealing important metabolic connections. Identifying and understanding the role of keystone targets might also help to determine the MOAs of drugs that appear to inhibit multiple targets.